TODO for AI
vs 
Asana
Work management with AI teammates and a no-code studio for building cross-system workflows. Here is where each one wins, with numbers, and who should pick which.
Asana
TODO for AI
Every providerWho should pick which
- Your work is repeatable intake, routing and reporting at scale
- You need enterprise governance and reporting
- Someone on the team will own and maintain the workflows
- Most tasks are one-offs described in a sentence
- The agent needs a shell, a repo or your logged-in browser
- You want to choose the model per task
- You do not want to build a workflow before getting value
We are not competing for the same job
Asana gets the task done.
TODO for AI organises the whole company’s work.
Asana answers one question: how do I get this task done, inside the workflow you built? So do the others — Cursor inside the editor, Claude Code in one person's session, Lindy by asking its assistant.
We answer a different one: where does the work live? One board per project, and a project for each part of the company — engineering, marketing, ops, finance, one per client. Your colleagues work on it. So do your agents, as many as you want to run, each with its own model, tools and permissions. Items carry the people who worked them and the agent that ran them, and the board filters by person, so what the company has in flight is one screen instead of a Slack thread.
That is not a team plan bolted onto an AI tool. It is the product. The agents are how items get closed; the board is what the company runs on.
What Asana is, and where it stops
Asana is the enterprise end of this comparison. AI teammates are assignable, AI Studio builds multi-step automations that reach into connected systems, and the governance around it is the most mature here. For intake, classification, routing and reporting it does what it says.
It is a workflow product, though. Outside the prebuilt teammates, value comes from designing the flow, which means it pays off on the fiftieth identical request and adds little for the one-off task you would otherwise describe to a colleague. There is no model choice, no shell, and AI requests are capped at five per user per month before extra billing starts.
Operations teams who want repeatable intake and routing automated inside Asana.
Three reasons Asana users look elsewhere
Prebuilt teammates cover common patterns, and everything beyond them is AI Studio, a builder. Work that does not repeat never justifies building the flow, so it stays with a human.
Paid plans include 5 AI requests per user per month. Beyond that it is $0.50 to $0.60 per request or an add-on per user.
You get Asana's models and Asana's reach. No shell, no cloud VM, no logged-in browser session.
Six dimensions that decide it
Asana 14/30TODO for AI 29/30What each one ships
AsanaTODO for AISame ladder, different meter
Seats plus AI requests: 5 per user per month on paid plans, then $0.50 to $0.60 per request or $5.99 per user per month on demand. AI Studio gets 50K to 200K credits per account.
One pool priced in dollars of model cost, spendable on any vendor. Session and weekly windows pace it, and a 1.3-1.5x plan multiplier applies, so a $20 plan is about $15 of list-price API. Team seat prices go into one shared pool.